Functions such as GLM, REG, and aov1 can be run by levels of a variable.

This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, TTEST, FREQ, and UNIVARIATE. Some R packages provide Type II and Type III SS. However, the results of nested and complex designs are often different from those of 'SAS'. Different results do not necessarily mean incorrectness. However, many want the same results as 'SAS'. This package aims to achieve that.
Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).

Kyun-Seop Bae

sasLM

'SAS' Linear Model

BY function

<dl> <dt>FUN</dt>
<dd>Function name to be called, such as GLM or REG</dd> <dt>Formula</dt>
<dd>a conventional formula for a linear model.</dd> <dt>Data</dt>
<dd>a <code>data.frame</code> to be analyzed</dd> <dt>By</dt>
<dd>a variable name in the <code>Data</code></dd> <dt>...</dt>
<dd>arguments to be passed to <code>FUN</code> function</dd></dl>

Arguments

Author

Analysis BY variable — BY

<dl>

 <dt>FUN</dt>
<dd>Function name to be called, such as GLM or REG</dd>

 <dt>Formula</dt>
<dd>a conventional formula for a linear model.</dd>

 <dt>Data</dt>
<dd>a <code>data.frame</code> to be analyzed</dd>

 <dt>By</dt>
<dd>a variable name in the <code>Data</code></dd>

 <dt>...</dt>
<dd>arguments to be passed to <code>FUN</code> function</dd>

</dl>

BY: Analysis BY variable

Description

Usage

Value

Arguments

Author

Details

Examples